Dynamic Programming
Online make-to-order joint replenishment model: primal dual competitive algorithms
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research
Policies for a single-vendor multi-buyer system with finite production rate
Decision Support Systems
An efficient optimal algorithm for the quantity discount problem in material requirement planning
Computers and Operations Research
On stochastic dynamic programming for solving large-scale planning problems under uncertainty
Computers and Operations Research
The multi-item capacitated lot-sizing problem with safety stocks and demand shortage costs
Computers and Operations Research
Satisfying market demands with delivery obligations or delivery charges
Computers and Operations Research
Economic Lot-Sizing for Integrated Production and Transportation
Operations Research
Neighborhood search techniques for solving uncapacitated multilevel lot-sizing problems
Computers and Operations Research
Minimizing the error bound for the dynamic lot size model
Operations Research Letters
Journal of Mathematical Modelling and Algorithms
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(This article originally appeared in Management Science, October 1958, Volume 5, Number 1, pp. 89-96, published by The Institute of Management Sciences.) A forward algorithm for a solution to the following dynamic version of the economic lot size model is given: allowing the possibility of demands for a single item, inventory holding charges, and setup costs to vary over N periods, we desire a minimum total cost inventory management scheme which satisfies known demand in every period. Disjoint planning horizons are shown to be possible which eliminate the necessity of having data for the full N periods.